Musculoskeletal healthcare at a Swiss university hospital chiropractic medicine outpatient clinic in 2019: a health services research study

Author(s):  
Léonie Hofstetter ◽  
Melanie Häusler ◽  
Malin Mühlemann ◽  
Luana Nyirö ◽  
Daniel Mühlemann ◽  
...  

Abstract Background The Balgrist University Hospital in Zurich, Switzerland, is an academic hospital focused on musculoskeletal (MSK) disorders. An integrated chiropractic medicine clinic provides chiropractic care to a broad patient population. Our health services research study aims to advance understanding of chiropractic health care service for quality assurance and health care quality improvement. Methods An observational clinical cohort study at the Balgrist chiropractic medicine clinic in 2019 was performed. The records of all patients with initial visits or returning initial visits (> 3 months since last visit) and their subsequent visits from January 1, 2019 to December 31, 2019, were used to create the study dataset. Data collected included demographic characteristics, diagnoses, imaging data, conservative treatments, surgeries, and other clinical care data. Descriptive statistics were used to summarize data. Results 1844 distinct patients (52% female, mean age 48 ± 17 years) were eligible and included in the study. 1742 patients had a single initial visit, 101 had 2 initial visits, and 1 patient had 3 initial visits during the study period. The most common main diagnoses were: low back pain (41%; 95% CI, 39–43%), neck pain (21%; 19–23%), and thoracic pain (8%; 7–9%). 29% had an acute (< 4 weeks) symptom duration, 10% subacute (4 to 12 weeks), and 52% chronic (> 12 weeks). Patients had a median number of 5 chiropractic visits during their episode of care, with a median care episode duration of 28 days. Only 49% (95% CI, 47–52%) of patient records had a clinical outcome that was extractable from routine clinical practice documentation retrievable from the hospital system. Conclusion Our health services research study provides an initial understanding of the patient characteristics and MSK clinical care delivered in a Swiss outpatient hospital setting and areas for clinical data quality assurance. Deeper insights into health care services and outcomes will help to facilitate a health quality improvement initiative by identifying clinical data and health care quality gaps, and establishing overall aims and targets for improvement.

Author(s):  
Devika Das ◽  
Lalan Wilfong ◽  
Katherine Enright ◽  
Gabrielle Rocque

Quality improvement (QI) initiatives and health services research (HSR) are commonly used to target health care quality. These disciplines are increasingly important because of the movement toward value-based health care as alternative payment and care delivery models drive institutions and investigators to focus on reducing unnecessary health care use and improving care coordination. QI efforts frequently target medical error and/or efficiency of care through the Plan-Do-Study-Act methodology. Within the QI framework, strategies for data display (e.g., Pareto charts, run charts, histograms, scatter plots) are leveraged to identify opportunities for intervention and improvement. HSR is a multidisciplinary field of study that seeks to identify the most effective way to organize, deliver, and finance health care to maximize the quality and value of care at both the individual and population levels. HSR uses a diverse set of quantitative and qualitative methodologies, such as case-control studies, cohort studies, randomized control trials, and semistructured interview/focus group evaluations. This manuscript provides examples of methodologic approaches for QI and HSR, discusses potential challenges associated with concurrent quality efforts, and identifies strategies to successfully leverage the strengths of each discipline in care delivery.


2011 ◽  
Vol 11 (4) ◽  
pp. 257-259 ◽  
Author(s):  
Marie C. McCormick ◽  
Glenn Flores ◽  
Gary L. Freed ◽  
Charles J. Homer ◽  
Kevin B. Johnson ◽  
...  

1996 ◽  
Vol 53 (1_suppl) ◽  
pp. 65-76 ◽  
Author(s):  
Eileen Peterson ◽  
Deborah Shatin ◽  
Douglas Mccarthy

This article describes collaborative health services research and performance evaluation activities at United HealthCare Corporation, a national health care management services company. We outline the development of a research capacity within our company, the principal data sources used, and the types of research conducted. The importance of health services research within a managed care system is illustrated using two projects as examples. finally, we discuss issues faced by organizations such as ours in defining appropriate research priorities, ensuring health plan participation, and disseminating research findings. Lessons learned should be of interest to health services researchers working in or collaborating with managed care organizations as well as others seeking to understand the dynamics of research in private-sector health care companies.


2020 ◽  
Vol 3 (2) ◽  
pp. 18-21
Author(s):  
Naiya Patel

Health services research is a multidisciplinary field which involves policy makers, health care providers, as well as quality outcomes professionals of the health services provided in an organizational setting to name some. Using qualitative research methodology to get insights of both the provider and patient experience down the pipeline can help strengthen what is lacking. Bridging the gap of translation research by not just surveys 1 might be an appropriate research methodology, however, inclusion of case studies, ethnographies might help stakeholders in the field, to visualize in depth phenomenon occurring in health services research field. Telly medicine, commercial digital health status trackr might be some of the inetrventions to improvise health care services, however, knowing what are the actual needs at individual level might efficiently help in redistribution of resources or policy laws. Recruiting for clinical trials through story telling communication technology2,3, might help in recruitment for novel drug therapies to explore possibilities, however, exploring the barriers to enroll for the clinical trials, or why the drug might work effectively in some cultural population and why not on others, can only be efficiently explored through qualitative research methodologies.


Medical Care ◽  
2009 ◽  
Vol 47 (Supplement) ◽  
pp. S70-S75 ◽  
Author(s):  
Paul A. Fishman ◽  
Mark C. Hornbrook

2021 ◽  
Author(s):  
Jawad Chishtie ◽  
Iwona Anna Bielska ◽  
Aldo Barrera ◽  
Jean-Sebastien Marchand ◽  
Muhammad Imran ◽  
...  

BACKGROUND Simple visualizations in health research data, such as scatter plots, heat maps and bar charts typically present relationships between two variables. Interactive visualization methods allow for multiple related facets, such as multiple risk factors, to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big healthcare data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. OBJECTIVE The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods and tools being employed in population health and HSR, and their sub-domains in the last 15 years, from 1 January 2005 to 30 March 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals and co-design of applications. METHODS We adapted standard scoping review guidelines, with a peer reviewed search strategy, two independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sector. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and health services research, and their sub-domains such as epidemiologic surveillance, health resource planning, access, utilization and costs, among diverse clinical and demographic populations. RESULTS As a companion review to our earlier systematic synthesis of literature on visual analytic applications, we present findings in six major themes of interactive visualization applications developed for eight major problem categories. We found a wide application of interactive visualization methods, the major being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality and studying medication use patterns. Data sources included mostly secondary administrative and electronic medical record data. Additionally, at least two-third applications involved participatory co-design approaches, while introducing a distinct category ‘embedded research’ within co-design initiatives. These applications were in response to an identified need for data-driven insights towards knowledge generation and decision support. We further discuss the opportunities from the use of interactive visualization methods towards studying global health, inequities including social determinants of health, and other related areas. We also allude to the challenges in the uptake of these methods. CONCLUSIONS Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and health services research. Such applications are being fast utilized by academic and health care agencies for knowledge discovery, hypotheses generation and decision support. CLINICALTRIAL Protocol registration: RR1-10.2196/14019 Related first review: RR2-10.2196/14019 INTERNATIONAL REGISTERED REPORT RR2-10.2196/14019


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